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Data Science Certification Training in Jordan

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  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science Certification and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • IBM Data Science Certification Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, components of the Data Science Certification lifecycle, big data and Hadoop, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
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Course Objectives

The potential for quantum computing and data science is big within the future. Machine Learning may also method the data abundant quicker with its accelerated learning and advanced capabilities. supported this, the time needed for finding advanced issues is considerably reduced. The role of the data scientist is currently a buzzworthy career. It's standing within the marketplace and provides opportunities for folks that study data science to create valuable contributions to their firms and societies at giant.

Big data. Data scientists shrewdness to use their skills in maths, statistics, programming, and alternative connected subjects to prepare giant information sets. Then, they apply their knowledge to uncover solutions hidden within the information require on business challenges and goals. Data science is high in demand and explains however digital information is remodeling businesses and serving to them create chiseler and significant selections. therefore digital data is everywhere for folks that are trying to figure as a data scientist.

  • Get comfy with Python
  • Learn information analysis, manipulation, and visualization with pandas
  • Learn machine learning with scikit-learn
  • Understand machine learning in additional depth
  • Keep learning and active
With the correct qualifications, you’ll get pleasure from a bright career outlook as a knowledgeable soul. The demand for people with these skills can still increase, and people already in data science roles are bound to see their salaries increase within the future. Data scientists work at intervals in most major industries wherever growth is occurring. Not only did IBM predict the demand for data scientists would grow by 28th in 2020, however, the Bureau of Labor Statistics considers data science within the prime twenty quickest growing occupations and has projected thirty-first growth over the following 10 years.
Data science groups have folks from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, technology, etc. You'll realize several data scientists with a bachelor's degree in statistics and machine learning however it's not a demand to be told Data Science.
The various edges of Data Science are as follows:
  • The abundance of Positions
  • An extremely Paid Career
  • Data Science is flexible
  • Data Science Makes information higher
  • Data scientists are extremely Prestigious
  • Apache Spark
  • BigML
  • Excel
  • ggplot2

What are the purposes of the Data Science Certification?

The key objective of Data Science is to extract valuable data to be used in the strategic higher cognitive process, development, analytic thinking, and statement. The key techniques in use are data processing, huge data analysis, data extraction, and data retrieval. The purpose of data science is to create the means for extracting business-focused penetrations from data. This requires an understanding of however worth and data flows in an extremely business, and therefore the ability to use that understanding to find business opportunities.

What skills are utilized in a Data Science Online Training in Jordan?

One of the foremost necessary technical knowledge soul skills is applied math analysis and computing, mining, and process big data sets. This additionally includes extracting the info that's thought valuable. Some information scientists have a pH scale
  • Statistics
  • Programming Language R/ Python
  • Data Extraction, Transformation, and Loading
  • Data wrangle and information Exploration
  • Machine Learning And Advanced Machine Learning (Deep Learning)

What are the job opportunities after completing the Data Science Certification Course?

To name many, a number of the foremost common job titles for information scientists include:
  • Business analyst
  • Data Mining Engineer
  • Data designer
  • Data Scientist
  • Senior Data Scientist

What are the requirements for learning Data Science Certification?

Data science requires the basics of statistics and mathematics, which should be clear to be able to analyze the problems that are at hand. To solve business problems, you need to have soft skills like team management and control over the projects to meet the deadlines. You will find many data scientists with a bachelor's degree in statistics and machine learning but it is not a requirement to learn data science

Will Data Science requires coding background?

You need to possess knowledge of different programming languages, like Python, Perl, C/C++, SQL, and Java, with Python being the foremost common cryptography language needed in data science roles. These programming languages facilitate data scientists to organize unstructured data sets.6
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Overview of Data Science Certification Training in Jordan

This path takes you one step closer to becoming a facts scientist with the resource of the use of offering a subset of the topics blanketed in our Data Science and Analytics Bootcamps. You'll get a well-rounded intro to the center requirements and strategies taught withinside the Bootcamp, which incorporates essential machine getting to know standards and hands-on coding experience. Plus, you can area it all to work out through a mini facts era undertaking of your own.

The artwork of uncovering the insights and developments in facts has been around for the reason that historic times. The historic Egyptians used census facts to develop overall performance in tax collection and they successfully expected the flooding of the Nile River every year. Since then, human beings working in the facts era have carved out a totally precise and notable problem for the artwork they do, this problem is the facts era. In this path, we're capable of meet some facts era practitioners and we're capable of getting a definition of what the facts era is today.

Additional Info

About Data Science:

Data Science Course in Jordan stays a fine inside the beauty problem among taught professional professionals and companies centered on get-together Data and extricating fabric reviews from it to help gatherings to prosper. A massive amount of data might be valuable to any organization, but, first-class in case, its miles are handled efficaciously. At the thing at the same time as we entered the time of significant Data, the selection for carports accelerated ten times. Until 2010, the number one cognizance transformed into growing a cutting side foundation to keep the ones cherished Data, that would, inside the lengthy run, be gotten to and prepared to deliver venture reviews. With structures like Hadoop searching after the carport, the eye has now been changed to cope with this truth. How about we've got a take a see what Data innovation is and the manner it suits into the contemporary-day u. s . a . of remarkable Data and groups.

Why do bunches need Data Science Training?

We've superior from on foot with minuscule assortments of ward Data to huge mines of unstructured and semi-subordinate Data rolling in from many properties. At the thing at the same time as it includes making geared up this remarkable amount of unstructured Data, elegant Business Intelligence innovation misses the mark. Thus, Data Science carries more confounded stuff for on foot with remarkable volumes of Data from several reasserts the entire of economic logs, sight, and sound statistics, promoting and showcasing administrative artwork, sensors, and gear, and literary substance files.

Who manages the Data innovation procedure?

    At most excessive affiliations, Data innovation undertakings are with the resource of the usage of and in huge element administered through the approach of a manner for 3 assortments of administrators:

  • These directors' artwork together with the Data innovation accumulating to connote the problem and increment a request approach. They are possibly on the apex of a venture line, entire of promoting, coins, trials, and thing a Data innovation association answering to them. The group up eagerly with the Data innovation and IT heads to ensure that movements are communicated.
  • Senior IT administrators are answerable for the device and designed to have the selection to help Data innovation undertakings. They are continually investigating sports activities sports and resource customers to ensure that Data innovation companies complete efficaciously and securely. They can likewise be held answerable for the creation of safety and new IT activities for Data innovation agencies.
  • Administrators of Data innovation These administrators are in pace with the Data innovation association and their everyday tasks. They are association makers who can soundness association improvement with venture-making arrangements and monitoring.

Top Qualities of a Good Data Scientist :

  • Statistical Thinking.
  • Technical Acumen.
  • Multi-modular talk skills.
  • Curious thoughts.
  • Creativity.

Roles and Duties of Data generation :

    What is a Data scientist?
  • Data innovation is a spic and span pronounce to distinction. It grew out of the place names of quantitative assessment and Data mining. By 2008, the time of Data analyst had arisen, and the circle took off without delay. From that thing forward, there was a loss of Data analysts, even though an ever-developing huge type of property and colleges way have all commenced delivering to the table Data scientist certificates in Jordan.
  • A Data scientist's duties can also likewise consist of developing homes for expertise Data, making geared up Data for exploration, and challenge Investigating making geared up, analyzing, and picturing Data, growing styles with Data the use of pc dialects entire of Python and R, and sending designs into apps.
  • The Data expert is anything but a solitary laborer. Decent Data innovation is completed in groups. Besides a Data expert, this association can also likewise consist of a challenge agent who portrays the problem, a Data engineer who readies the Data and the manner its miles had been given to, and an IT modeler who coordinates the call of the sport cycles and establishment, and a product format fashion designer who changes over the styles or outcomes of the studies into bundles and devices.

Responsibility : Predictive causal studies –

If you need a version that might rely upon the cap feasible consequences of a specific event, later on, you need to utilize insightful causal examination. Say, if you are giving coins the use of an economic assessment card, the hazard of clients making predetermination FICO rating portions on time carries dread for you. Here, you can unite a rendition that might do a perceptive take a look at the thing statistics of the supporter to assume if the future portions are possibly at the timetable or now no longer.

Prescriptive studies:

If you need a version that impacts taking its unique options and the potential to direct it with dynamic limits, you need prescriptive exploration for it. This new region is installed to giving advice. In several words, it expects and suggests more than a couple of supported movements and related outcomes.

The best version for that is Google's self-the usage of automobiles, which I've efficaciously talked about. The Data amassed through the approach of a manner for automobiles might be implemented to carry collectively self-the usage of automobiles. You can do computations in the one's Data to awareness on experts to it. This will permit your automobile to make picks at the same time as to expose, which way to take at the same time as to dial as soon as more or accelerate.

Machine acquiring Data for making forecasts —

If you have esteem based simply Data of coins administrative center and need to unite a version to decide the predetermination take a look at, then, AI computations are the first-class desire. This falls underneath the perspective of controlled acquiring Data. It is known as controlled because of the truth you at this thing have the Data relying upon which you can carry collectively your machines. For instance, a distortion ubiquity version might be coordinated to utilize a real record of fake buys.

Machine acquiring Data for taking a look at revelation —

If you do now no longer have the foggiest idea about the limits on which to make figures, you can need to find out the call of the sport models withinside the dataset so you could make huge expectations. Since you haven't any predefined marks for social events, that is the impartial form. Grouping is the proper estimation implemented for format revelation.

Suppose you're on foot in a telecall telephone administrative center and you need to gather an administrative center through a manner of a manner for placing towers in a region. Then, you can employ the gathering approach to discover the top locales a first-rate approach to guarantee that every single one of the clients gets the fine sign strength. These are the fields you need if you need to create as a Data Scientist.

Benefits Of Data Science Online Certification Course :

1. Microsoft Data technological expertise worker skills :

Microsoft superior the Data technological expertise worker that it uses to keep and get higher Data from programming software program bundles that name for it. It runs on all principle renditions of the Windows on foot framework and works withinside the customer programming software program and networkers. Many gatherings employ this particular Data technological know-the way to keep and get higher Data, so dominating the way to draw in with Microsoft Data technological expertise, in explicit, licenses you to find out about the worker's exquisite database.

2. Execution skills :

An execution plan is a seen instance of techniques a Database motor executes inquiries, which might be possibly approached to get legitimate admittance to Data. It's essential to have precise sufficient execution skills to recognize the general exhibition of an inquiry and look at failing to satisfy expectations or nonfunctional ones. This restricts assists you with readorning and keeps a records set's question regular with the resource of the usage of and huge execution, which besides permits bunches maintaining up with a long way from conventional Data commonplace region usually talk execution troubles.

3. Database management:

Database oversees skills to ensure that you can make reinforcements for your Data, permitting you and your association to have hazard picks if an underlying truth set turns into harmed, awkward, or debased. When situating out the way to reinforcement Data, software program software engineers regularly select out four options: complete reinforcement, differential, tail log, or value-based log reinforcement. Each kind of reinforcement suits explicit dreams, and capacity that may be an easy first-class desire for the particular Data that fantasies backing up is essential at the same time as walking with records.

4. PHP skills :

PHP is one of the greatest excellent prearranging dialects implemented for net web page online improvement. While dominating it does now no longer without delay find out inside addition developing your Data technological expertise skills, it's far besides a valuable potential to contemplate as it can assist you with perceiving a web web web page on-line as a whole. Software engineers often use PHP to gather an internet site and Data technological expertise to hook up with and contact for Data on an internet site. Getting comfortable with everything about dialects permits a software program software engineer to recognize how a web web web page on the internet and the Data on a web web web page online complete and engage.

5. Data technological expertise Joins skills :

Programmers use Data technological expertise Joins conditions to consolidate devices of Data the use of developments which might not be an exceptional place to each set. Understanding Data technological expertise Joins provisos permits you to consolidate statistics from multiple desks, making it extensively a whole lot much less complicated to break down several devices of Data that require the blend. Experience with Joins provisos permits stimulating the approach for mixing Data and executing questions in assessment to unmistakable strategies, which incorporates subqueries.

6. Ordering skills :

Database files affect how rapidly a question is executed. Developers strain requests onto the right tables of Data to permit files to artwork efficaciously. In a first-rate world, this guarantees that inquiries deliver the important Data in a well-coordinated way. Helpless ordering furthermore can also save you conventional infamous execution. When you reflect on consideration on the motives inside the return of the use of statistics and the way to apply them, fusing them into your programming will alternate right into a continuing-on with the approach.

7. Related Data technological expertise framework skills :

Data technological expertise uses first-rate frameworks to keep its Data. Frameworks that contain MyData technological expertise and PostgreData technological expertise have grown to be vital in giving carports to Data Science. They are publicly released, available, and employ a similar sentence form as important Data technological expertise. Picking the right records set a couple of the 2 frameworks furthermore can also offer you an enduring pleasure of Data technological expertise. They can likewise assist with limiting clients, cope with the legitimacy of admittance, and perform touchy duties.

8. OLAP skills :

Online Analytical Processing (OLAP) depicts a kind of Database that examines Data from a whole thing quicker and in a further present-day way than particular records gadgets. It offers the capacity for complex Data relying on the resource of the usage of and huge estimations. While directing this limit requires some investments, it permits causing best you to recognize your agency boss' Data in a masses more noteworthy targeted way. Notwithstanding, given the truth Data and innovation are normally changing, which may be a restriction that requires smooth and relearning.

9. Specialized Data technological expertise Data assessment :

Data technological expertise has had a high effect withinside the advertising and advertising and showcasing field. From Data appraisal and organizing to resemblance, this language can adapt to first-rate types of Data adequately. Data appraisal skills ensure you recognize the practices and varieties of your thing crowd. From this, you can showcase devices to explicit socioeconomics, relying on what explicit Data suggests.

10. Overseeing Database form :

Windows, Apache, MyData technological expertise and PHP (WAMP) is a product software program stack that, at the same time as implemented together, can enliven methodologies related to developing and adapting to internet net places. Whenever you have obtained expertise of important Data technological expertise skills, it very well may be essential to be aware of this complete stack to dive more deeply into the elements of your association's internet net places and records.

Data technological expertise Certification and Online Course:

  • With a non-forestall Database adventure revel in prepared on the quit of the Data Science Training, this confirmation expresses that the competitor has gotten the essential skills to first-rate artwork as a Data technological expertise Developer. Furnishing that Data technological expertise authentication alongside your resume at the hour of the meeting permits focusing on your profile and besides permits you to get to problem draw close opportunities.
  • Data technological expertise Certification Course in Toronto bestows the constrained devices which might be wanted for an expert Data technological expertise Developer underneath the steerage of our Real-time experts. Data technological expertise Training in Toronto is prepared through a way of strategies for experts who have 8+ prolonged periods of involvement withinside the Database Development stage. The global certificates comprise – IBM Certified Database Administrator DB2, Oracle Database Certified Administrator, Oracle Certified Professional, MyData technological expertise Database Administrator, and Microsoft Data technological expertise Server Database certifications.

Modules Of Data technological expertise:

  • Databases and relationships.
  • Data technological expertise recommendations and question gear are available.
  • Aggregating functions.
  • Sort the posting through the clause.
  • Tables and joins.
  • Subqueries.
  • Data manipulation.
  • Transactional manage.
  • Opinions and strategies are elements of the indistinguishable coin.

Features Of Data technological expertise :

  • Earning this Microsoft access-recognition accreditation approves your comprehension of Data problems performed in Microsoft Azure Data administrations, entire of processes records gadgets craftsmanship with PostgreData technological expertise and MyData technological expertise.
  • This accreditation reaches out past Data technological know-the way to exhibit your comprehension of social and non-social Data, relative to Data workloads.
  • The Oracle Database Data technological expertise Certified Associate Certification approves your comprehension of pivotal Data technological expertise contemplations, it genuinely is specifically urgent at the same time as walking with the Oracle Database server.
  • The confirmation will separate your expertise of Data Science, Data demonstrating, and table-use, among particular things.
  • One affirmation takes a look at what needs to be passed.
  • IBM offers three Certified Database Associate Certifications for folks who need to expose their comprehension of the Informix or Db2 social records set control structures.
  • There is the fine take a look at wanted for the MyData technological expertise 5.7 Database Administrator Certification a first-rate approach to confirm your comprehension in MyData technological expertise, and Oracle social Database control device.
  • The certificate will show display important MyData technological expertise which incorporates establishment, arrangement, and checking of the records set control device.
  • The PostgreData technological expertise 12 Associate Certification from EDB approves your comprehension of the requirements needed to craftsmanship with PostgreData technological expertise servers.
  • PostgreData technological expertise is a social Data base that without troubles scales in terrific companies.

Career paths Data Science Training :

  • Data scientist's most in-name for facts generation Careerroute decided on with the resource of the usage of experts is that of a facts scientist. If you want to installation a Careers a facts scientist, you may be answerable for the gathering, assessment of facts, and get actionable insights based mostly on a massive amount of raw facts. If you need to pick out this facts generation Careerroute, you need to incline withinside the route of the tech side of things which includes a strong ancient beyond in mathematics, stats, and programming skills.
  • AVERAGE SALARY2: The national not unusual place sales for a Data Scientist is $1,13,309 withinside the United States.
  • 1. Data Analyst :
  • A facts analyst collects records from several properties and analyzes their patterns to advantage actionable insights. They are answerable for transforming and manipulating massive facts gadgets to match the popular assessment for the companies. A facts analyst recommends particular techniques and techniques that may help a business enterprise in improving the first-class of facts structures.
  • AVERAGE SALARY: The national not unusual place sales for a Data Analyst is $62,453 withinside the United States.
  • 2. Data Engineer :
  • This is one of the unique famous facts generation Career paths that attraction to multiple experts. A facts engineer is answerable for growing and nurturing facts pipelines that help in making records available to facts scientists. They are also answerable for building new APIs to help the growth in facts complexity. The artwork is in close to contact with front-forestall and returned-forestall developers, product managers, and analysts.
  • AVERAGE SALARY: The national not unusual place sales for a Data Engineer is $1,02,864 withinside the United States.
  • 3. Data Architect :
  • They are folks who create a blueprint for all the facts manipulate structures. Every business enterprise’s database desires to be built and maintained with the resource of the usage of identifying all possible structural and installation solutions. This challenge is accomplished with the resource of the usage of a facts architect. Their project is to ensure that their business enterprise’s facts solutions are built for average overall performance and to format analytics for multiple platforms.
  • AVERAGE SALARY: The national not unusual place sales for a Data Architect is $1,08,278 withinside the United States.
  • 4. Business Intelligence Analyst :
  • They redesign facts into insights that in the long run energy agency value. This facts generation Careerroute is for human beings with strong important thinking and problem-solving abilities. BI analysts hire facts analytics, facts visualization, and facts modeling techniques. BI analysts can figure tendencies that would help managers in making agency picks to decorate the organization’s common average overall performance.
  • AVERAGE SALARY: The national not unusual place sales for a Business Intelligence Analyst is $76,402 withinside the United States.
  • 5. Statistician :
  • A statistician has a strong eye for detecting patterns in facts. They are mathematics and information experts who exercise statistical techniques to resolve real-worldwide troubles. They are folks who're answerable for facts collection, finding the tendencies and connections in facts and speak the effects to stakeholders.
  • AVERAGE SALARY: The national not unusual place sales for a Statistician is $76,884 withinside the United States.

Pay Scale Of Data technological expertise Developer :

Structured Query Language is the venture supported for overseeing social Databases. This requires order and language cognizance. The middle income introduced for a contestant Database Developer in India is 60k to Rs. 20k reliable with annum. Data technological expertise Developers with mid-12 months appreciation can procure around 30k to 650k in Jordan reliable with annum. Data technological expertise Developers are confused over what records are withinside the records set, the way it wants to be controlled, and what reviews need to be produced. In this article, we will check out the worldwide Data technological expertise Developer Salary and why each agency boss requires one. The now no longer uncommon region benefits for a Data technological expertise Developer are ₹203k - ₹895k steady with the month.

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Key Features

ACTE Jordan offers Data Science Certification Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Data Science Certification Course in Jordan
Module 1: Introduction to Data Science Certification with R
  • What is Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, applications of Data Science Certification , lifecycle of Data Science Certification , components of the Data Science Certification lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
  • Hands-on Exercise - Installation of R Studio, implementing simple mathematical operations and logic using R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to dplyr package, Selecting one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
  • Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.
Module 4: Data Visualization
  • Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
  • Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.
Module 5: Introduction to Statistics
  • Why do we need Statistics?, Categories of Statistics, Statistical Terminologies,Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance,Standardization & Normalization,Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
  • Hands-on Exercise -– Building a statistical analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.
Module 6: Machine Learning
  • Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, concepts and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression,residuals, qqnorm(), qqline(), understanding the fit of the model, building simple linear model, predicting results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
  • Hands-on Exercise -Modeling the relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of Logistic Regression
  • Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.
Module 8: Decision Trees & Random Forest
  • What is classification and different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, find the right no of trees and evaluate performance metrics.
  • Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.
Module 9: Unsupervised learning
  • What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
  • Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.
Module 10: Association Rule Mining & Recommendation Engine
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
  • Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.
Module 11: Introduction to Artificial Intelligence (self paced)
  • introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.
Module 12: Time Series Analysis (self paced)
  • What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to concepts of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.
Module 16: Case Study
  • This case study is associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
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Hands-on Real Time Data Science Certification Projects

Project 1
Wallmart Sales Data Set

Retail is another industry that extensively uses analytics to optimize business processes.

Project 2
Flipkart Classification Dataset

This project is to forecast sales for each department and increasing labelled dataset using semi-supervised classification.

Our Top Hiring Partner for Placements

ACTE Jordan offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Data Science Certification training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Data Science Certification Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By MCSE: Data Management and Analytics & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Experienced Data Science Certification Trainer

  • Our Data Science Certification Training in Jordan. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Data Science Certification domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Certification training to the students.
  • We have received various prestigious awards for Data Science Certification Training in Jordan from recognized IT organizations.

Data Science Certification Course Reviews

Our ACTE Jordan Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



ACTE is the best training institute for Data science and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.


Software Engineer

Data Science class was really helpful in building my career. They cleared my basic concepts and helped me practice for the interviews. They made sure that I understood all the basics and prepared me for the industry. I am thankful for ACTE the staff for their efforts and determination.


Best DATA SCIENCE training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Data science training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your data science And AI training in BTM Layout.



ACTE for your career switch to Data Science..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.


Software Engineer

Its a good institute for Data Science in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

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Data Science Certification Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science Certification training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science Certification Course At ACTE?

  • Data Science Certification Course in ACTE is designed & conducted by Data Science Certification experts with 10+ years of experience in the Data Science Certification domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science Certification batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science Certification . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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